Graph Databases for Knowledge Management
By Lori Cameron
Emerging technologies let companies manage their knowledge assets with more innovative and effective methods. Due to the complex nature of knowledge management processes, it is cumbersome to design, develop, and implement a system based on relational databases.
The article “Graph Databases for Knowledge Management,” which appears in the November/December 2017 issue of IT Professional, proposes a specific graph database application in streamlining major knowledge management processes. The author develops a property graph data model to facilitate the process model of knowledge management.
In addition, this property graph data model is implemented through the Neo4j graph database system. This research provides some guidance for practitioners in seeking alternative approaches to traditional methods of knowledge management.
About Lori Cameron
Lori Cameron is a Senior Writer for the IEEE Computer Society and currently writes regular features for Computer magazine, Computing Edge, and the Computing Now and Magazine Roundup websites. Contact her at l.cameron@computer.org. Follow her on LinkedIn.
